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Development of a Korean-specific virtual population for physiologically based pharmacokinetic modelling and simulation.
Kim, Yun; Hatley, Oliver; Rhee, Su-Jin; Yi, Sojeong; Lee, Hyun A; Yoon, Sumin; Chung, Jae-Yong; Yu, Kyung-Sang; Lee, Howard.
Afiliação
  • Kim Y; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
  • Hatley O; Simcyp Division, Certara UK Limited, UK.
  • Rhee SJ; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
  • Yi S; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
  • Lee HA; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
  • Yoon S; Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.
  • Chung JY; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
  • Yu KS; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Bundang Hospital, Seongnam, South Korea.
  • Lee H; Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
Biopharm Drug Dispos ; 40(3-4): 135-150, 2019 Apr.
Article em En | MEDLINE | ID: mdl-30921829
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Povo Asiático / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Biopharm Drug Dispos Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Coréia do Sul
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Povo Asiático / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Biopharm Drug Dispos Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Coréia do Sul